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Found 6 papers, 4 papers with code
Global Hierarchical Attention for 3D Point Cloud Analysis
For the 3D object detection task, GHA improves the CenterPoint baseline by +0. 5% mAP on the nuScenes dataset, and the 3DETR baseline by +2. 1% mAP25 and +1. 5% mAP50 on ScanNet.
Pedestrian-Robot Interactions on Autonomous Crowd Navigation: Reactive Control Methods and Evaluation Metrics
Autonomous navigation in highly populated areas remains a challenging task for robots because of the difficulty in guaranteeing safe interactions with pedestrians in unstructured situations.
Person-MinkUNet: 3D Person Detection with LiDAR Point Cloud
In this preliminary work we attempt to apply submanifold sparse convolution to the task of 3D person detection.
2D vs. 3D LiDAR-based Person Detection on Mobile Robots
Person detection is a crucial task for mobile robots navigating in human-populated environments.
Self-Supervised Person Detection in 2D Range Data using a Calibrated Camera
Through experiments on the JackRabbot dataset with two detector models, DROW3 and DR-SPAAM, we show that self-supervised detectors, trained or fine-tuned with pseudo-labels, outperform detectors trained only on a different dataset.
DR-SPAAM: A Spatial-Attention and Auto-regressive Model for Person Detection in 2D Range Data
Detecting persons using a 2D LiDAR is a challenging task due to the low information content of 2D range data.
